Visible-Infrared person Re-IDentification (VI-ReID) is a challenging
cro...
Collaborative 3D object detection, with its improved interaction advanta...
Backpropagation algorithm has been widely used as a mainstream learning
...
Mining the spatial and temporal correlation of wind farm output data is
...
Collaborative perception is essential to address occlusion and sensor fa...
Deploying deep convolutional neural network (CNN) models on ubiquitous
I...
Federated recommender system (FRS), which enables many local devices to ...
Image semantic segmentation aims at the pixel-level classification of im...
Compared with traditional task-irrelevant downsampling methods, task-ori...
Most previous learning-based graph matching algorithms solve the
quadrat...
Differentiable solvers for the linear assignment problem (LAP) have attr...
Unsupervised person re-identification (ReID) is a challenging task witho...
In this work, we focus on Interactive Human Parsing (IHP), which aims to...
The RGB-infrared cross-modality person re-identification (ReID) task aim...
Visible-infrared cross-modality person re-identification is a challengin...
In recent years, powered by the learned discriminative representation vi...
With the aim of matching a pair of instances from two different modaliti...
Recently, the advancement of 3D point clouds in deep learning has attrac...
The control of traffic signals is fundamental and critical to alleviate
...
Watermarking is the procedure of encoding desired information into an im...
In the past few decades, to reduce the risk of X-ray in computed tomogra...
As facial interaction systems are prevalently deployed, security and
rel...
Feature pyramid network (FPN) based models, which fuse the semantics and...
Partial Label Learning (PLL) aims to learn from the data where each trai...
As one of the important functions of the intelligent transportation syst...
Partial Label Learning (PLL) aims to learn from the data where each trai...
The recent progress of human parsing techniques has been largely driven ...